Protecting quantum memories from noise using reinforcement learning (IMAGE)
Caption
In a quantum device composed of multiple qubits, a reinforcement learning agent learns to preserve quantum information by selecting gate sequences and performing measurements. Based on measurement outcomes, the agent receives reward signals to guide it toward actions that effectively reduce error and maintain coherence.
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